Ai/llm Product Director - Executive Director

JPMorgan Chase JPMorgan Chase · Banking · Palo Alto, CA +1 · Commercial & Investment Bank

Product Director for AI/LLM initiatives, focusing on enterprise search capabilities. Responsibilities include defining product roadmaps, leveraging technologies like RAG, SFT, RLHF, and Agents, and ensuring scalable, secure, and compliant product delivery. Requires experience in building and launching AI/LLM products and understanding the AI/LLM product lifecycle.

What you'd actually do

  1. Oversees the product roadmap, vision, development, execution, risk management, and business growth targets for both conventional and LLM-based generative search.
  2. Leverage a wide range of cutting-edge technologies such as Semantic Search, Personalized Search, Supervised Fine-Tuning (SFT), Reinforcement Learning with Human Feedback (RLHF), Retrieval-Augmented Generation (RAG), and Agents to enhance user experiences.
  3. Partner with internal stakeholders, including business leaders, data scientists, engineers, and designers, to align requirements, define product features, and ensure successful product delivery.
  4. Oversee the integration and release of Search and LLM technologies into GB products and services.
  5. Help define and track key performance indicators (KPIs) to measure the success of Search and LLM products.

Skills

Required

  • 8+ years of building and launching AI / LLM products
  • Strong collaboration skills
  • Knowledge of AI/LLM and data product lifecycle
  • Familiarity with ElasticSearch, Supervised Fine-Tuning (SFT), Reinforcement Learning with Human Feedback (RLHF), RAG, and Agents
  • Knowledge of LLM frameworks such as LangChain, LangGraph, and OpenLLM
  • Understanding of operationalizing AI products responsibly through MLOps pipeline
  • Basic expertise in Cloud computing and architecture (e.g., AWS)

Nice to have

  • Search Product experience preferred
  • Experience in Financial Services or other highly regulated industries

What the JD emphasized

  • 8+ years of building and launching AI / LLM products
  • Experience in Financial Services or other highly regulated industries

Other signals

  • AI/LLM Product Director
  • enterprise Search capability incorporating AI/LLM
  • delivering a business-friendly, best-in-class enterprise Search capability
  • incorporating the latest technologies (including AI/LLM)
  • applying best practices
  • support the design and architecture of the solutions
  • various stages of the Software Development Lifecycle (SDLC)
  • challenge traditional approaches
  • remove barriers to success
  • foster a culture of continuous innovation
  • inspire cross-functional teams create groundbreaking solutions
  • address customer needs
  • product roadmap, vision, development, execution, risk management, and business growth targets
  • conventional and LLM-based generative search
  • Leverage a wide range of cutting-edge technologies
  • Semantic Search
  • Personalized Search
  • Supervised Fine-Tuning (SFT)
  • Reinforcement Learning with Human Feedback (RLHF)
  • Retrieval-Augmented Generation (RAG)
  • Agents
  • enhance user experiences
  • Incorporate established search methodologies and technologies
  • Boolean Search
  • Keyword Search
  • Faceted Search
  • Full-Text Search
  • improve overall search capabilities and user experience
  • Partner with internal stakeholders
  • business leaders
  • data scientists
  • engineers
  • designers
  • align requirements
  • define product features
  • ensure successful product delivery
  • Oversee the integration and release of Search and LLM technologies into GB products and services
  • Ensure that solutions are scalable, secure, and compliant with regulatory requirements
  • Help define and track key performance indicators (KPIs)
  • measure the success of Search and LLM products
  • Use data-driven insights to support informed decisions
  • drive continuous improvement
  • Coaches and mentors the product team on best practices
  • solution generation
  • market research
  • storyboarding
  • mind-mapping
  • prototyping methods
  • product adoption strategies
  • product delivery
  • enabling them to effectively deliver on objectives
  • 8+ years of building and launching AI / LLM products
  • Strong collaboration skills
  • ability to positively influence technology teams and stakeholders
  • Knowledge of AI/LLM and data product lifecycle
  • discovery
  • data processing
  • model development
  • model deployment
  • model monitoring
  • Familiarity with ElasticSearch
  • Supervised Fine-Tuning (SFT)
  • Reinforcement Learning with Human Feedback (RLHF)
  • RAG
  • Agents
  • Knowledge of LLM frameworks such as LangChain
  • LangGraph
  • OpenLLM
  • Understanding of operationalizing AI products responsibly through MLOps pipeline
  • Basic expertise in Cloud computing and architecture (e.g., AWS)
  • Search Product experience preferred, but not required
  • Recognized thought leader in this space
  • Experience in Financial Services or other highly regulated industries